When you Google for “best whatever” and land on a reddit thread, take some time to look at the histories of the people commenting.
You’ll find many cases where the only post they’ve ever made was for that product, and cases where the person posting the question also posts in the comments with an answer, like they forgot to switch to alt accounts.
A lot of it is obvious SEO marketing nonsense. Trust nothing. The entire Internet is trying to scam you. Enshittification, indeed. This used to be a nice neighborhood before the capitalists moved in in the 90s.
So what your saying is, the quality (of reddit) has nosedived
And it’s only going to get WAY WORSE with LLM and Gen AI…
Good suggestion.
I think the savviest of the savvy out there are both properly seeding comment histories and continuing to post other comments after they astroturf which makes it all but impossible to identify.
Big bummer and no perfect solution I’ve ever heard of but we do what we can and can always hope.
Because Reddit is infested with bot accounts at this point I tend to trust older threads over newer ones. Easy as hell to buy accs to say a competitor sucks dick
Or it’s just late stage capitalism where the product has truly gone to shit.
Por que no los dos?
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there needs to be a crowd sourced product review and maintenance website that can see trends of enshittification.
Let’s say everyone used an identity verification service to signup, like had to send photos of their ID and their SSN (national identity number) to be vetted by a third party.
How long after the service got popular would it take for the most aggressive marketers to pay rings of fraudsters to lend their identities and/or make fake reviews?
I think it would definitely start out great until it got big enough to be super useful and then the fraud would ramp up. I think an organization like Consumer Reports has a chance at successfully maintaining a low-bias product database, but the paywall is a big obstacle, as is the fact they’ll only review the largest product catalogs.
These are the pitfalls with the “amazon reviews/yelp” model.
A decent implementation of the Wikipedia/FOSS model sidesteps this because it theoretically is run by opinionated curators. No amount of bots/shills can break the article soft-lock ounce foul play is spotted.
That’s not to say these systems haven’t been occasionally broken through more sophisticated attacks, but empirically it seems clear that the model generally works well enough given enough community engagement (which would be the biggest challenge IMO, because maintainers can’t be expected to buy every product, and reliable primary sources may be hard to come by).
From Wikishittia, the free enshittepedia
How dare you get my hopes up.
(it does not exist, sadly)
The trick is designing the thing in such a way as to resist infiltration by astroturfing marketers.
I mean it more or less follows a line. It getting ever steeper lately but it’s pretty predictable.
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depending on reddit for any kind of real world advice is a crapshoot at best
Even a crapshoot is better than the straight advertisements on Google.
My exact experience finding out Audacity has adware
Reading your comment is how I found out. That makes me sad.
That’s why Tenacity is here to save the day!
After all of the controversies, Tenacity was born. It first started as temporary-audacity on GitHub since it didn’t have a name. In order to decide a new name for the project, the lead maintainer at the time held a vote. Among the new names were “Audacium”, “Sneedacity”, and “Tenacity”. The name Sneedacity would later gain traction among 4chan members, resulting in a large volume of votes for the name Sneedacity.
In response to the large volume of votes by 4chan members, the previous maintainers had an emergency vote, choosing the name Tenacity instead of Sneedacity. This upset some, leading to the creation of a new fork with virtually the same intentions. Unsurpringly, this fork was named Sneedacity.
Sneedacity lmao
though not 100% audio software, i recommend davinci resolve! it’s free, and no ads
Aka “larger sample size provides different results”
Not in this case, I found a recent thread where people posted a side by side of an old product with the new one.
The cotton/polyester split used to be 75/25, now it’s 55/45…
I’ve noticed it with Darn Tough socks. Used to be mostly Merino wool, now it’s over 50% nylon. My last pair literally smelled like plastic for a week.
I finally find good socks…
I replaced my Red Wing Iron Rangers a couple months ago and quality took a shit. Maybe I just got a bad pair. Terrible to hear about the socks. I should have bought more years ago.
Dammit, I kept forgetting to pick some up.
In this case, it is likely the company was bought out by venture capital who cut costs and quality to suck the brand dry between the first and second thread.
That’s not really the case, everything is lower quality now on average.
It’s a moving target these days though
The hive mind / group think stuff on Reddit is strong. I had a friend doing a section of the PCT and he was saying literally everyone had the same setups from socks to water filters.
That kind of uniformity isn’t good for anyone.
Lemmy wouldn’t know anything about that 😏
